Business Association Rule Mining Base on the Fuzzy Neural Networks

Author

Jinze Zhang ; Yuanyuan Zhang

Author_Institution

Inf. Eng. Dept., TianJinBohai Vocational Tech. Coll., Tianjin, China

fYear

2013

fDate

21-23 Sept. 2013

Firstpage

1150

Lastpage

1153

Abstract

By the advantage of fuzzy system in rule extraction, fuzzy neural networks make up the disadvantage of neural networks. And make use of fuzzy neural networks on business rules and data mining. Structure fuzzy neural network and training it, and then make the extraction rules steps less complicated by network cut out. In the end use threshold to filtering rules and extract effective business association rules.

Keywords

business data processing; data mining; fuzzy neural nets; business association rule mining; data mining; extraction rules; filtering rules; fuzzy neural networks; fuzzy system; rule extraction; Association rules; Biological neural networks; Business; Fuzzy control; Fuzzy neural networks; Training; Association rules; Data Mining; Fuzzy Neural Networks; Membership Function;

fLanguage

English

Publisher

ieee

Conference_Titel

Instrumentation, Measurement, Computer, Communication and Control (IMCCC), 2013 Third International Conference on

Conference_Location

Shenyang

Type

conf

DOI

10.1109/IMCCC.2013.255

Filename

6840645

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=691170